Statistik für Forscher Schulung

Haupt-Reiter

Schulungsprache

Dieser Kurs wird auf Deutsch und Englisch angeboten

Course Code

statsres

Dauer

35 Stunden (usually 5 days including breaks)

Voraussetzungen

Verständnis deskriptiver Statistik (Mittelwert, Standardabweichung, Varianz) und Grundverständnis von Wahrscheinlichkeiten.

Zu empfehlen ist der Vorbereitungskurs: Statistik Level I

Überblick

This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines.

It covers some probability and statistical methods, mainly through examples. This training contains around 30% of lectures, 70% of guided quizzes and labs.

In the case of closed course we can tailor the examples and materials to a specific branch (like psychology tests, public sector, biology, genetics, etc...)

In the case of public courses, mixed examples are used.

Though various software is used during this course (Microsoft Excel to SPSS, Statgraphs, etc...) its main focus is on understanding principles and processes guiding research, reasoning and conclusion.

This course can be delivered as a blended course i.e. with homework and assignments.

Schulungsübersicht

Scientific Method, Probability & Statistics

  • Very short history of statistics
  • Why can be "confident" about the conclusions
  • Probability and decision making

Preparation for research (deciding "what" and "how")

  • The big picture: research is a part of a process with inputs and outputs
  • Gathering data
  • Questioners and measurement
  • What to measure
  • Observational Studies
  • Design of Experiments
  • Analysis of Data and Graphical Methods
  • Research Skills and Techniques
  • Research Management

Describing Bivariate Data

  • Introduction to Bivariate Data
  • Values of the Pearson Correlation
  • Guessing Correlations Simulation
  • Properties of Pearson's r
  • Computing Pearson's r
  • Restriction of Range Demo
  • Variance Sum Law II
  • Exercises

Probability

  • Introduction
  • Basic Concepts
  • Conditional Probability Demo
  • Gamblers Fallacy Simulation
  • Birthday Demonstration
  • Binomial Distribution
  • Binomial Demonstration
  • Base Rates
  • Bayes' Theorem Demonstration
  • Monty Hall Problem Demonstration
  • Exercises

Normal Distributions

  • Introduction
  • History
  • Areas of Normal Distributions
  • Varieties of Normal Distribution Demo
  • Standard Normal
  • Normal Approximation to the Binomial
  • Normal Approximation Demo
  • Exercises

Sampling Distributions

  • Introduction
  • Basic Demo
  • Sample Size Demo
  • Central Limit Theorem Demo
  • Sampling Distribution of the Mean
  • Sampling Distribution of Difference Between Means
  • Sampling Distribution of Pearson's r
  • Sampling Distribution of a Proportion
  • Exercises

Estimation

  • Introduction
  • Degrees of Freedom
  • Characteristics of Estimators
  • Bias and Variability Simulation
  • Confidence Intervals
  • Exercises

Logic of Hypothesis Testing

  • Introduction
  • Significance Testing
  • Type I and Type II Errors
  • One- and Two-Tailed Tests
  • Interpreting Significant Results
  • Interpreting Non-Significant Results
  • Steps in Hypothesis Testing
  • Signficance Testing and Confidence Intervals
  • Misconceptions
  • Exercises

Testing Means

  • Single Mean
  • t Distribution Demo
  • Difference between Two Means (Independent Groups)
  • Robustnes Simulation
  • All Pairwise Comparisons Among Means
  • Specific Comparisons
  • Difference between Two Means (Correlated Pairs)
  • Correlated t Simulation
  • Specific Comparisons (Correlated Observations)
  • Pairwise Comparisons (Correlated Observations)
  • Exercises

Power

  • Introduction
  • Example Calculations
  • Factors Affecting Power
  • Exercises

Prediction

  • Introduction to Simple Linear Regression
  • Linear Fit Demo
  • Partitioning Sums of Squares
  • Standard Error of the Estimate
  • Prediction Line Demo
  • Inferential Statistics for b and r
  • Exercises

ANOVA

  • Introduction
  • ANOVA Designs
  • One-Factor ANOVA (Between-Subjects)
  • One-Way Demo
  • Multi-Factor ANOVA (Between-Subjects)
  • Unequal Sample Sizes
  • Tests Supplementing ANOVA
  • Within-Subjects ANOVA
  • Power of Within-Subjects Designs Demo
  • Exercises

Chi Square

  • Chi Square Distribution
  • One-Way Tables
  • Testing Distributions Demo
  • Contingency Tables
  • 2 x 2 Table Simulation
  • Exercises

Case Studies

Analysis of selected case studies


Public Classroom Public Classroom
Teilnehmer aus verschiedenen Organisationen. Die Themen können hier nicht angepasst werden.
Von 4205EUR
(43)
Private Classroom Private Classroom
Die Teilnehmer sind aus einem Unternehmen. Externe Teilnehmer sind nicht erlaubt. Der Kurs ist speziell auf eine Gruppe zugeschnitten, Die Themen werden genau auf die Bedürfnisse der Teilnehmer abgestimmt.
Von 4205EUR
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Private Remote Private Remote
Der Anleiter und die Teilnehmer befinden sich an unterschiedlichen Orten und kommunizieren über das Internet miteinander.
Von 4540EUR
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Selbststudium Selbststudium
Das Selbststudium ermöglicht es Ihnen von Zuhause aus zu lernen. Vielfältige Materialien, wie Videos, Texte und Selbsttests stehen Ihnen dafür zur Verfügung.
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The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom Private Classroom Private Remote
1 4205EUR 4205EUR 4540EUR
2 2668EUR 2643EUR 2810EUR
3 2155EUR 2122EUR 2233EUR
4 1899EUR 1861EUR 1945EUR
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Spezialangebote

Upcoming Courses

OrtSchulungsdatumKurspreis (Fernkurs/Schulungsraum)
Frankfurt am MainMo, 2016-07-11 09:304540EUR / 5490EUR
StuttgartMo, 2016-07-11 09:304540EUR / 5490EUR
LeipzigMo, 2016-07-18 09:304540EUR / 5490EUR
MünchenMo, 2016-07-18 09:304540EUR / 5490EUR
HannoverMo, 2016-07-25 09:304540EUR / 5490EUR

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